MCP server

Prior Art Search

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Semantic prior-art search over 10.5M+ US patents for a claim and/or abstract. Two-stage neural retrieval (fine-tuned dense encoder + optional late-interaction reranker) plus a citation-graph channel. Returns ranked references with titles, abstracts and similarity scores. Full claim text is NOT included by default: set includeClaims, or rank first and pull the few worth reading with get_patent_claims, which is the cheaper shape for most work. Specification bodies are never returned. Pass filedBefore with the priority date of the application you are searching for: prior art must predate the invention, and without that bound the results include later filings that cannot be cited.

Patent Claim Text

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Fetch full claim text and abstracts for specific US application numbers, up to 25 per call. Use after search_prior_art to read the references worth reading: the search ranks and this returns the text, so a search of fifty does not pay to fetch fifty full claim sets. Titles here come from the authoritative lookup table rather than the vector index.

Patent Neighborhood

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Given a US application number, return its position in Antecedint's semantic patent space plus its nearest semantic neighbors (similar patents with similarity scores).

Cited Prior Art Map

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For a US application number, return its cited prior art (examiner-cited references flagged and listed first) resolved to patent-space positions. Useful for seeing what an examiner actually cited against an application.

Semantic Patent-Space Locate

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Semantic search into patent space: give free text (or a US application number) and get the nearest patents with similarity scores plus a landing position. A fast way to find the closest existing art to any technical text.

Antecedent Basis Check

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Check a claim set for §112(b) antecedent-basis defects. Finds definite recitations ("the widget", "said widget") with no earlier indefinite recitation in the same claim or in a claim it depends from, plus double inclusions, plural/singular mismatches, and improper dependencies. Implicit antecedent basis (MPEP 2173.05(e)) is suppressed, so "the outer surface of the housing" is not flagged. Findings are graded high/medium/low: high means no plausible antecedent exists anywhere, low means one probably exists under different wording. Deterministic, no LLM. Pass claims for a draft, or appNum for a filed application.

Claim Term Support Map

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Map every claim term to the specification passages that give it meaning, with exact locations (section, paragraph number, char offsets). Each term is graded by HOW the spec supports it: formally defined, defined by the claim, scoped by enumeration, mapped to an embodiment, characterized functionally, merely described, or UNDESCRIBED, which is a §112(a) written-description signal. With includeParents, the same analysis runs against the specs of the parent applications in the continuity chain (continuation, CIP, divisional, provisional), so terms supported here but in no ancestor are surfaced as NEW MATTER that cannot claim the parent's filing date.

Patent Whitespace Opportunities

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List analyzed gaps ("whitespace") in patent space ranked by opportunity score. Each gap includes a summary of what is missing, bordering CPC areas and patents, temporal profile, and nearby active assignees. Filter by CPC section letter and minimum opportunity.

CPC Code Lookup

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Look up a CPC classification symbol: what it covers, where it sits in the scheme, and which art units actually examine it. The art-unit spread is empirical (where applications carrying the symbol were really routed) with per-unit probabilities and an entropy score: low entropy means the symbol predicts the art unit, high means it does not. Use before filing to anticipate routing, or to decide whether classification is worth arguing.

Patent CPC Classification

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Get the CPC symbols assigned to a published application or granted patent, from the USPTO Master Classification File. Separates inventive symbols (covering what is claimed) from additional ones (disclosed but not claimed) — build a prior-art search from the inventive set. Accepts a publication or application number.

Art Unit Profile

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Profile one USPTO art unit: what technology it examines, its examiner roster, and how it behaves — allowance and rejection rates, time to first action, interview receptiveness, RCE tolerance and estimated prosecution cost. generated_context is the one-paragraph account of the technology; the model-written long description is served as its opening and length only. examiner_count is the roster length, and examiner_count_in_statistics appears when the stored statistics counted a different roster. Check statistics.data_quality before relying on the numbers: it reports how many applications and office actions they rest on, and thin units carry the same field names with far weaker support.

Examiner Search

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Find USPTO examiners by surname or art unit, returning ids and names to pass to get_examiner_profile. Matching is anchored, so pass a surname (or the start of the surname-first name), not a substring from the middle.

Examiner Statistics

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Statistics for one USPTO examiner, by id or by surname-first name (e.g. "SMITH ADAM M"): rejection analytics, allowance behaviour, interview and RCE patterns, timing and cost. Use it to calibrate a response strategy to the examiner who will actually read it. The default response is about 4,000 tokens: per-application lists (applications_with_interviews, applications_with_rcex), two wide histograms (by_sequence_length, document_code_breakdown) and two cold per-application sections (behavioral_patterns, rejection_analysis) are each replaced by a count and the include name that brings them back. percentile_rankings and claims_analysis are null where never computed, which is every examiner sampled. Read data_quality first: populations names the denominators, volume.tier says how much the numbers rest on, withheld lists fields removed as wrong, and notes lists pairs that disagree.

Warm the Inference Hub

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Start the encoder before you need it. The inference hub scales to zero, so the first search_prior_art or locate_in_patent_space after an idle period waits about 40 seconds for models to load. Call this first and that wait happens outside your search. Returns immediately by default with an estimate; pass wait to block until the models are ready instead of polling. Free, and it never counts against quota. Set rerank only if the search will set rerank, since the reranker costs another 25 seconds to load.

MPEP Section

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One MPEP section, with keyRules and examinerActions separated from the prose that obliges them. This is what a US examiner is required to apply, so it is the text an argument about whether they applied it correctly has to rest on. Section ids carry dots and parentheses (601.01(c)) and the punctuation is part of the id.

EPO Guidelines Section

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One section of the EPO Guidelines for Examination, in the same shape as get_mpep_section because the flow that reaches it is the same flow one step later: an applicant with a US rejection usually has a European family member. Carries citations, parentSection and childSections alongside the generated keyRules.

Office Action Form Paragraph

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The literal paragraph an examiner pasted into an office action, by its code. Turns a paragraph number read off a rejection into the statute behind it, the MPEP section it rests on, the rejection type, and the notes the examiner was given about when to use it. title is the heading and template the text with [1], [2] placeholders; brackets lists what fills them, which is often where the substance of the rejection sits. mustFollow names paragraphs that have to appear before this one. isAIA and preAIAEquivalent matter for anything filed near the changeover. A leading paragraph symbol is accepted.

Form Paragraphs by Rejection Type

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Every form paragraph an examiner could have reached for, filtered by rejection type or by the MPEP section it rests on. Given a rejection type this is the set they chose from, which is what tells a deliberately narrow choice from the only available one. rejectionType takes a statute (103, 112(b), 101, 1.52) or a label (obviousness, indefiniteness, enablement, double_patenting); either reaches the paragraphs the other would. At least one filter is required; this does not list the whole table.

Guidance Cross-References

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What a guidance section points at and what points at it, one hop, both directions. Forward is what else a rule depends on; backward is what breaks if you misread it, and is the direction that is hard to get any other way. The node id prefix selects the corpus: mpep-2106 or epo-c-ix-3. A hub section is cited by hundreds of others, so the fan-out is capped and truncated says which direction hit the cap.

USPTO Design Search Code

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One USPTO design search code, e.g. 03.19.17 for a fish symbol used for religious significance. A classification scheme rather than guidance; it sits in this corpus because it arrived with the same data, not because it belongs beside the MPEP.